{"id":"W6924690636","doi":"10.15468/dl.u5drpz","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Sexual function and dysfunction studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); Reference data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002047708,0.0002718792,0.0003901829,0.0001604079,0.0002917915,0.00007449443,0.000130158,0.0003278814,0.001511648],"category_scores_gemma":[0.000387104,0.0002517503,0.0001863811,0.0005684802,0.0001503696,0.0004189207,0.0002326938,0.0003138761,0.7575132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025639,"about_ca_system_score_gemma":0.0001627755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007628067,"about_ca_topic_score_gemma":0.00001299155,"domain_scores_codex":[0.9984719,0.00003093748,0.0003948837,0.0002375242,0.000606151,0.0002586191],"domain_scores_gemma":[0.99868,0.00003030251,0.0002000038,0.0004390531,0.0004435343,0.0002070946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002367984,0.00004481653,0.002493647,0.0002653259,0.0001120489,0.000007547691,0.00002447451,0.000001969777,3.204507e-8,6.582696e-8,0.9960899,0.0007233538],"study_design_scores_gemma":[0.0008051383,0.0001162763,0.001305309,0.000004946171,0.0001676155,0.00002041205,0.0003906649,7.292187e-8,7.102453e-7,3.162241e-7,0.99698,0.0002085842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001725611,0.00002273126,0.000004658999,0.0004737228,0.002042831,0.0003684761,0.9961356,0.0003456621,0.0004337809],"genre_scores_gemma":[0.000001614999,0.0001581097,6.512587e-7,0.002096902,0.000005165099,0.000006885939,0.9977257,2.060196e-8,0.000004966095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7560015,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03590949910963439,"score_gpt":0.2638904954078111,"score_spread":0.2279809962981767,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}